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Abstract Background Despite the significant weight of difficulty, Ethiopia's survival rate and mortality predictors have not yet been identified. Finding out what influences outpatient breast cancer patients' survival time was the major goal of this study. Methods A retrospective study was conducted on outpatients with breast cancer. In order to accomplish the goal, 382 outpatients with breast cancer were included in the study using information obtained from the medical records of patients registered at the University of Gondar referral hospital in Gondar, Ethiopia, between May 15, 2016, and May 15, 2020. In order to compare survival functions, Kaplan-Meier plots and the log-rank test were used. The Cox-PH model and Bayesian parametric survival models were then used to examine the survival time of breast cancer outpatients. The use of integrated layered Laplace approximation techniques has been made. Results The study included 382 outpatients with breast cancer in total, and 148 (38.7%) patients died. 42 months was the estimated median patient survival time. The Bayesian Weibull accelerated failure time model was determined to be suitable using model selection criteria. Stage, grade 2, 3, and 4, co-morbid, histological type, FIGO stage, chemotherapy, metastatic number 1, 2, and >=3, and tumour size all have a sizable impact on the survival time of outpatients with breast cancer, according to the results of this model. The breast cancer outpatient survival time was correctly predicted by the Bayesian Weibull accelerated failure time model. Conclusions Compared to high- and middle-income countries, the overall survival rate was lower. Notable variables influencing the length of survival following a breast cancer diagnosis were weight loss, invasive medullar histology, comorbid disease, a large tumour size, an increase in metastases, an increase in the International Federation of Gynaecologists and Obstetricians stage, an increase in grade, lymphatic vascular space invasion, positive regional nodes, and late stages of cancer. The authors advise that it is preferable to increase the number of early screening programmes and treatment centres for breast cancer and to work with the public media to raise knowledge of the disease's prevention, screening, and treatment choices.

Abstract Chronic obstructive pulmonary disease is a condition which can be prevented and treated and is characterized by difficulty of breathing that is not entirely curable. The overall objective of this study was to model the variation of longitudinal measurement over time for outpatients with chronic obstructive pulmonary diseases at the University of Gondar referral hospital. From February 1, 2019, to February 1, 2022, a retrospective study of outpatients with chronic obstructive pulmonary disease was conducted in a hospital. The data was extracted from all patients' data records from the patient’s chart. The information includes the fundamental demographic and clinical details of each outpatients with chronic obstructive pulmonary disease. Mixed linear model were used to investigate the determinant factor of chronic obstructive pulmonary disease. From a total of 266 outpatients, Averages of the ratio of forced expiratory volume to forced vital capacity among chronic obstructive pulmonary disease patients were 0.65, with a standard deviation of 0.043. Comorbidities (average = 2.18, 95% CI 0.43:3.9, P = 0.0133), HIV(average = 4.83, 95% CI 1.94:7.72, P = 0.0012), education (average = 2.98; 95% CI 0.75:4.8, P = 0.008), and weight (average = 0.178, 95% CI 0.045:0.311, P = 0.009) are risk factors for change in forced vital capacity. This study clearly shows that there is a high COPD prevalence in Ethiopia. The risk factors for chronic obstructive pulmonary diseases are the smoking status, comorbidities, HIV, education status of the patient, weight, and time of the visit.

Abstract Background Visceral leishmaniasis is caused by the parasites Leishmania donovani spices complex that can spread to internal organs and the disease is fatal with a fatality rate of nearly 100% if left untreated. Visceral Leishmania-HIV (HIV1) coinfection disease is a new clinical form of leishmaniasis very serious disease in the endemic part of the world. It also served as the primary cause of death in the lowlands of Ethiopia with the endemic Humara and Metema that are located near the Sudanese border. Methods A total of 153 visceral leishmaniases with HIV co-infection secondary data was taken from the medical chart of patients from January 2015 to January 2021 and a hospital-based cross-sectional study design was carried out to retrieve relevant information. The data entered by SPSS and analysed using STATA version 14 and R4.2.1 statistical software packages using a non-parametric Model, semi-parametric Cox proportional hazard survival models at 5% significance level. Result Among the total visceral leishmaniasis with HIV co-infected patients 3.27% were females and 96.73% were males, 19 (12.42%) patients died and 134(87.58%) patients were censored. The Cox proportional hazard model result indicates that severe acute malnutrition, baseline CD4+ cell count ≥100, and underweight significantly contributed to the survival time of a patient. Cox proportional hazard model shows that severe acute malnutrition (HR=4.40027, 95% CI= 2.455061 262.7934, P-value=0.007), baseline CD4+cell count ≥100 (HR=0.2714623, 95% CI= 0.0764089 0.9644395, P-value=0.044), and Underweight (HR=4.678169, 95% CI= 1.970097 11.10872, P-value=0.040) significantly contributed to a shorter survival time. Conclusion Visceral leishmaniases with HIV co-infected patients show a large number of deaths occurred in the earlier days of treatment this implies that Visceral leishmaniasis accelerates HIV replication and disease progression death. The researcher suggests that people be aware of the burden posed by those risk factors and knowledgeable about the diseases. So, the researcher recommended that to health workers implement primary health care in those patients and careful consideration of a neglected parasitic disease.

Abstract Background Cervical cancer is one of the most serious threats to women's lives. Modelling the change in tumour size over time for outpatients with cervical cancer was the study's main goal. Methods A hospital conducted a retrospective cohort study with outpatients who had cervical cancer. The information about the tumour size was taken from the patient's chart and all patient data records between May 20, 2017, and May 20, 2021. The data cover 322 cervical cancer outpatients' basic demographic and medical information. When analysing longitudinal data, the linear mixed effect model and the connection between tumour sizes in outpatients were taken into consideration. A linear mixed model, a random intercept model, and a slope model were used to fit the data. Result A sample of 322 cervical cancer outpatients was examined, and 148 (or 46% of the outpatients) tested positive for HIV. The linear mixed model with a first-order autoregressive covariance structure revealed that a change in time of one month led to a 0.009 cm2 reduction in tumour size. For every kilogramme more in weight, the tumour size change in cervical cancer patients decreased considerably by 0.0098 cm2. The tumour size change in the cervical cancer patient who was HIV-positive was 0.4360 cm squared greater than that in the HIV-negative outpatients. Conclusion As a consequence, there was a significant association between the longitudinal change in tumour size and the predictor variables visit time, therapy, patient weight, cancer stage, HIV, oral contraceptive use, history of abortion, and smoking status.

Abstract Background Cervical cancer is the 4th most common cancer in women worldwide. as well as the 4th most common cause of cancer-related death. The main objective of this study was to identify factors that affect the survival time of outpatients with cervical cancer. Methods A retrolective study including outpatients with cervical cancer was carried out in a hospital. To achieve the aim, 322 outpatients with cervical cancer were included in the study based on the data taken from the medical records of patients enrolled from May 15, 2018, to May 15, 2022, at the University of Gondar referral hospital, Gondar, Ethiopia. The Kaplan–Meier plots and log-rank test were used for the comparison of survival functions; the Cox-PH model and Bayesian parametric survival models were used to analyze the survival times of outpatients with cervical cancer. Integrated nested Laplace approximation methods have been applied. Results Out of a total of 322 patients, 118 (36.6%) died as outpatients. The estimated median survival time for patients was 42 months. Using model selection criteria, the Bayesian log-normal accelerated failure time model was found to be appropriate. According to the results of this model, oral contraceptive use, HIV, stage, grade, co-morbid disease, history of abortion, weight, histology type, FIGO stage, radiation, chemotherapy, LVSI, metastatic number, regional nodes examined, and tumor size all have a significant impact on the survival time of outpatients with cervical cancer. The Bayesian log-normal accelerated failure time model accurately predicted the survival time of cervical cancer outpatients. Conclusions The findings of this study suggested that reductions in weight, treatment, the presence of comorbid disease, the presence of HIV, squamous cell histology type, having a history of abortion, oral contraceptive use, a large tumor size, an increase in the International Federation of Gynecologists and Obstetricians stage, an increase in metastasis number, an increase in grade, positive regional nodes, lymphatic vascular space invasion, and late stages of cancer all shortened the survival time of cervical cancer outpatients.

Abstract Background The effect of human immunodeficiency virus (HIV) on precancerous cervical lesion is not consistent across studies. Besides to the variability in the presence of a significant association between HIV and precancerous cervical lesion, the reported strengths are inconsistent among studies that report a significant association. Therefore, we sought to determine the impact of HIV on women's risk of precancerous cervical lesion by conducting a systematic review and meta‐analysis of case–control studies in Ethiopia. Methods Relevant articles were systematically searched on African Journals Online, Cochrane Library, Science Direct, Google Scholar, and PubMed from January 1, 2023, to February 20, 2023. After critical appraisal, pertinent data were extracted into an Excel spreadsheet and then exported to STATA 14 for further statistical analysis. The pooled effect size was estimated using the random‐effect model. The Egger's regression test and I2 statistics were employed to assess publication bias and heterogeneity among included studies, respectively. Results Ten case–control studies with a total of 3035 participants (992 cases and 2043 controls) were involved in this meta‐analysis. According to our analysis, HIV‐infected women were 2.86 times more likely to develop precancerous cervical lesion as compared with their counterparts (odds ratio: 2.86, 95% confidence interval: 1.79, 4.58). Conclusion We found that HIV‐infected women have a higher risk of precancerous cervical lesion. Thus, targeted screening programs should be considered to reduce the burden of cervical cancer among HIV‐infected women in Ethiopia.

Abstract Background and Aims Cervical cancer is the fourth most common cause of cancer‐related death in the world. The objective of this study was to determine factors that affect the longitudinal change of tumor size and the time to death of outpat Methods A retrospective follow‐up study was carried out among 322 randomly selected patients with cervical cancer at the University of Gondar Referral Hospital from May 15, 2018 to May 15, 2022. Data were extracted from the patient's chart from all patients' data records. Kaplan–Meier estimator, log‐rank test, the Cox proportional‐hazard model, and the joint model for the two response variables simultaneously were used. Results Among 322 outpatients with cervical cancer, 148 (46%) of them were human immunodeficiency virus (HIV) positive and 107 (33.3%) of them died. The results of joint and separate models show that there is an association between survival and the longitudinal data in the analysis; it indicates that there is a dependency between longitudinal terms of cervical tumor size and time‐to‐death events. A unit centimeter square rise in tumor size, corresponding to an exp(0.8502) = 2.34 times, significantly raised the mortality risk. Conclusion The study showed that HIV, stage of cancer, treatment, weight, history of abortion, oral contraceptive use, smoking status, and visit time were statistically significant factors for the two outcomes jointly. Implications As a result, adequate health services and adequate resource allocations are critical for cervical cancer control and prevention programs. Therefore, the government should provide adequate funding and well‐trained health professionals to hospitals to sustain screening programs with appropriate coverage of cervical cancer patient treatments.